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Digital
Introduction to Evolutionary Algorithms
Authors: ---
ISBN: 9781849961295 9781849961301 9781447125693 9781849961288 Year: 2010 Publisher: London Springer

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Abstract

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.


Digital
Network Models and Optimization : Multiobjective Genetic Algorithm Approach
Authors: --- ---
ISBN: 9781848001817 Year: 2008 Publisher: London Springer-Verlag


Digital
Proceedings of the Tenth International Conference on Management Science and Engineering Management
Authors: --- --- ---
ISBN: 9789811018374 Year: 2017 Publisher: Singapore Springer Singapore, Imprint: Springer

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This book presents the proceedings of the Tenth International Conference on Management Science and Engineering Management (ICMSEM2016) held from August 30 to September 02, 2016 at Baku, Azerbaijan and organized by the International Society of Management Science and Engineering Management, Sichuan University (Chengdu, China) and Ministry of Education of Azerbaijan. The aim of conference was to foster international research collaborations in management science and engineering management as well as to provide a forum to present current research findings. The presented papers were selected and reviewed by the Program Committee, made up of respected experts in the area of management science and engineering management from around the globe. The contributions focus on identifying management science problems in engineering, innovatively using management theory and methods to solve engineering problems effectively and establishing novel management theories and methods to address new engineering management issues.


Digital
Proceedings of the Eleventh International Conference on Management Science and Engineering Management
Authors: --- --- ---
ISBN: 9783319592800 Year: 2018 Publisher: Cham Springer International Publishing

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This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination  and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.


Digital
Industrial Engineering, Management Science and Applications 2015
Authors: --- --- ---
ISBN: 9783662472002 9783662472019 9783662471999 9783662516454 Year: 2015 Publisher: Berlin, Heidelberg Springer

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This volume provides a complete record of presentations made at Industrial Engineering, Management Science and Applications 2015 (ICIMSA 2015), and provides the reader with a snapshot of current knowledge and state-of-the-art results in industrial engineering, management science and applications. The goal of ICIMSA is to provide an excellent international forum for researchers and practitioners from both academia and industry to share cutting-edge developments in the field, and to exchange and distribute the latest research and theories from the international community. The conference is held every year, making it an ideal platform for people to share their views and experiences in industrial engineering, management science and applications related fields.


Digital
Intelligent and Evolutionary Systems
Authors: --- --- --- --- --- et al.
ISBN: 9783540959786 Year: 2009 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg

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